{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Tuning a multi `match` query, linear combination score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import importlib\n",
    "import os\n",
    "import sys\n",
    "\n",
    "from copy import deepcopy\n",
    "from elasticsearch import Elasticsearch\n",
    "from skopt.plots import plot_objective"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# project library\n",
    "sys.path.insert(0, os.path.abspath('..'))\n",
    "\n",
    "import qopt\n",
    "importlib.reload(qopt)\n",
    "\n",
    "from qopt.notebooks import evaluate_mrr100_dev_templated, optimize_query_mrr100_templated, set_bm25_params\n",
    "from qopt.optimize import Config"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Setting BM25 params fields:\n",
      " - url: {'k1': 0.33066956222950633, 'b': 0.9589101032169087}\n",
      " - title: {'k1': 0.34885436112727763, 'b': 1.0}\n",
      " - title.bigrams: {'k1': 1.2, 'b': 0.75}\n",
      " - body: {'k1': 3.0128735487205525, 'b': 0.8200709176657588}\n",
      " - body.bigrams: {'k1': 1.9100199633100623, 'b': 0.7336619962002098}\n",
      " - expansions: {'k1': 4.870954366799399, 'b': 0.9249613913608172}\n",
      " - expansions.bigrams: {'k1': 1.2, 'b': 0.75}\n"
     ]
    }
   ],
   "source": [
    "# use a local Elasticsearch or Cloud instance (https://cloud.elastic.co/)\n",
    "es = Elasticsearch('http://localhost:9200')\n",
    "\n",
    "# set the parallelization parameter `max_concurrent_searches` for the Rank Evaluation API calls\n",
    "max_concurrent_searches = 10\n",
    "\n",
    "index = 'msmarco-document.doc2query'\n",
    "template_id = 'query'\n",
    "\n",
    "# set best BM25 params\n",
    "set_bm25_params(es, index, [\n",
    "    ('url', {'k1': 0.33066956222950633, 'b': 0.9589101032169087}), # 0.2201\n",
    "    ('title', {'k1': 0.34885436112727763, 'b': 1.0}), # 0.2354\n",
    "    ('title.bigrams', {'k1': 1.2, 'b': 0.75}), # 0.1295\n",
    "    ('body', {'k1': 3.0128735487205525, 'b': 0.8200709176657588}), # 0.2645\n",
    "    ('body.bigrams', {'k1': 1.9100199633100623, 'b': 0.7336619962002098}), # 0.2045\n",
    "    ('expansions', {'k1': 4.870954366799399, 'b': 0.9249613913608172}), # 0.3220\n",
    "    ('expansions.bigrams', {'k1': 1.2, 'b': 0.75}) # 0.2837\n",
    "])\n",
    "\n",
    "# base template for tuning\n",
    "base_templates = [{\n",
    "    \"id\": template_id,\n",
    "    \"template\": {\n",
    "        \"lang\": \"mustache\",\n",
    "        \"source\": { \"query\": {} }\n",
    "    }\n",
    "}]\n",
    "\n",
    "def match_query(name):\n",
    "    return {\n",
    "        \"match\": {\n",
    "            name: {\n",
    "                \"query\": \"{{query_string}}\",\n",
    "                \"boost\": \"{{\" + name.replace('.', '_') + \"|boost}}\",\n",
    "            },\n",
    "        },\n",
    "    }"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Experiments"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Base fields"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "_field_names = [\n",
    "    'url',\n",
    "    'title',\n",
    "    'body',\n",
    "]\n",
    "_templates = deepcopy(base_templates)\n",
    "_match_queries = [match_query(x) for x in _field_names]\n",
    "_templates[0]['template']['source']['query']['bool'] = { 'should': _match_queries }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Evaluation with: MRR@100\n",
      "Score: 0.2866\n",
      "CPU times: user 1.77 s, sys: 455 ms, total: 2.23 s\n",
      "Wall time: 2min 9s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params={\n",
    "    'url|boost': 1.0,\n",
    "    'title|boost': 1.0,\n",
    "    'body|boost': 1.0,\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimizing parameters\n",
      " - metric: MRR@100\n",
      " - queries: data/msmarco-document-sampled-queries.1000.tsv\n",
      " - queries: data/msmarco/document/msmarco-doctrain-qrels.tsv\n",
      " > iteration 1/50, took 0:00:32 (remains: 0:26:47)\n",
      "   | 0.2653 (best: 0.2653) - {'url|boost': 2.4655500378357047, 'title|boost': 2.107829960621424, 'body|boost': 3.103734494692036}\n",
      " > iteration 2/50, took 0:00:20 (remains: 0:16:13)\n",
      "   | 0.2563 (best: 0.2653) - {'url|boost': 9.579021603479642, 'title|boost': 5.24245833820261, 'body|boost': 5.517848683453418}\n",
      " > iteration 3/50, took 0:00:17 (remains: 0:13:28)\n",
      "   | 0.2597 (best: 0.2653) - {'url|boost': 2.0496250657292063, 'title|boost': 9.994536752252772, 'body|boost': 5.763678016376662}\n",
      " > iteration 4/50, took 0:00:16 (remains: 0:12:45)\n",
      "   | 0.2479 (best: 0.2653) - {'url|boost': 0.13237918169020538, 'title|boost': 0.426157161134152, 'body|boost': 9.629915818745612}\n",
      " > iteration 5/50, took 0:00:21 (remains: 0:15:51)\n",
      "   | 0.2639 (best: 0.2653) - {'url|boost': 0.42700619900124753, 'title|boost': 8.030166341086698, 'body|boost': 3.9117577624858955}\n",
      " > iteration 6/50, took 0:00:08 (remains: 0:06:35)\n",
      "   | 0.2296 (best: 0.2653) - {'url|boost': 4.556794951046422, 'title|boost': 7.773364342036237, 'body|boost': 0.9097477407205014}\n",
      " > iteration 7/50, took 0:00:18 (remains: 0:13:01)\n",
      "   | 0.2699 (best: 0.2699) - {'url|boost': 2.800772629078559, 'title|boost': 2.326798001901525, 'body|boost': 5.743169011896471}\n",
      " > iteration 8/50, took 0:00:07 (remains: 0:05:10)\n",
      "   | 0.2303 (best: 0.2699) - {'url|boost': 0.5777354338144659, 'title|boost': 6.084480449900365, 'body|boost': 0.2693961076591867}\n",
      " > iteration 9/50, took 0:00:07 (remains: 0:05:19)\n",
      "   | 0.2287 (best: 0.2699) - {'url|boost': 8.306603998607216, 'title|boost': 8.939763167237228, 'body|boost': 1.1820314372525433}\n",
      " > iteration 10/50, took 0:00:13 (remains: 0:08:44)\n",
      "   | 0.2491 (best: 0.2699) - {'url|boost': 7.85314451472072, 'title|boost': 2.878357754220176, 'body|boost': 3.104337411476143}\n",
      " > iteration 11/50, took 0:00:17 (remains: 0:11:05)\n",
      "   | 0.2629 (best: 0.2699) - {'url|boost': 6.078264270206375, 'title|boost': 6.662947807527217, 'body|boost': 6.717423950332203}\n",
      " > iteration 12/50, took 0:00:11 (remains: 0:07:34)\n",
      "   | 0.2310 (best: 0.2699) - {'url|boost': 9.395668290598415, 'title|boost': 9.432611241010282, 'body|boost': 1.4467435390380892}\n",
      " > iteration 13/50, took 0:00:18 (remains: 0:11:27)\n",
      "   | 0.2715 (best: 0.2715) - {'url|boost': 1.408018150783791, 'title|boost': 1.8503552197887365, 'body|boost': 7.343860658830571}\n",
      " > iteration 14/50, took 0:00:17 (remains: 0:10:28)\n",
      "   | 0.2582 (best: 0.2715) - {'url|boost': 8.315266288754218, 'title|boost': 5.30522685637283, 'body|boost': 5.765369337542026}\n",
      " > iteration 15/50, took 0:00:09 (remains: 0:05:15)\n",
      "   | 0.2350 (best: 0.2715) - {'url|boost': 6.318898080758189, 'title|boost': 7.01514743201578, 'body|boost': 1.3014016108707773}\n",
      " > iteration 16/50, took 0:00:15 (remains: 0:08:42)\n",
      "   | 0.2529 (best: 0.2715) - {'url|boost': 7.068589561598655, 'title|boost': 0.7419865405143024, 'body|boost': 3.0487556553443333}\n",
      " > iteration 17/50, took 0:00:20 (remains: 0:11:32)\n",
      "   | 0.2625 (best: 0.2715) - {'url|boost': 7.828044333324835, 'title|boost': 7.982922741620049, 'body|boost': 7.931236616814995}\n",
      " > iteration 18/50, took 0:00:19 (remains: 0:10:31)\n",
      "   | 0.2662 (best: 0.2715) - {'url|boost': 8.297281918629189, 'title|boost': 5.717573661841638, 'body|boost': 9.661695964925824}\n",
      " > iteration 19/50, took 0:00:16 (remains: 0:08:18)\n",
      "   | 0.2483 (best: 0.2715) - {'url|boost': 5.990599913998885, 'title|boost': 2.804564732452785, 'body|boost': 2.1284594451645606}\n",
      " > iteration 20/50, took 0:00:22 (remains: 0:11:29)\n",
      "   | 0.2688 (best: 0.2715) - {'url|boost': 2.6634180196974016, 'title|boost': 9.238792795151976, 'body|boost': 9.546693515018093}\n",
      " > iteration 21/50, took 0:00:09 (remains: 0:04:41)\n",
      "   | 0.2407 (best: 0.2715) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 4.522742797563552}\n",
      " > iteration 22/50, took 0:00:12 (remains: 0:06:03)\n",
      "   | 0.2737 (best: 0.2737) - {'url|boost': 0.0, 'title|boost': 3.352102507215377, 'body|boost': 10.0}\n",
      " > iteration 23/50, took 0:00:22 (remains: 0:09:55)\n",
      "   | 0.2759 (best: 0.2759) - {'url|boost': 0.0, 'title|boost': 7.356068193396096, 'body|boost': 10.0}\n",
      " > iteration 24/50, took 0:00:20 (remains: 0:08:42)\n",
      "   | 0.2643 (best: 0.2759) - {'url|boost': 10.0, 'title|boost': 2.6167667919541016, 'body|boost': 10.0}\n",
      " > iteration 25/50, took 0:00:19 (remains: 0:08:00)\n",
      "   | 0.2729 (best: 0.2759) - {'url|boost': 0.0, 'title|boost': 5.282046692970697, 'body|boost': 10.0}\n",
      " > iteration 26/50, took 0:00:20 (remains: 0:08:01)\n",
      "   | 0.2696 (best: 0.2759) - {'url|boost': 0.0, 'title|boost': 8.276802137359558, 'body|boost': 7.611062554477476}\n",
      " > iteration 27/50, took 0:00:13 (remains: 0:05:15)\n",
      "   | 0.2097 (best: 0.2759) - {'url|boost': 0.0, 'title|boost': 0.6601503417971408, 'body|boost': 0.0}\n",
      " > iteration 28/50, took 0:00:22 (remains: 0:08:17)\n",
      "   | 0.2703 (best: 0.2759) - {'url|boost': 3.4404033787822215, 'title|boost': 4.536375337425275, 'body|boost': 10.0}\n",
      " > iteration 29/50, took 0:00:19 (remains: 0:06:42)\n",
      "   | 0.2729 (best: 0.2759) - {'url|boost': 0.0, 'title|boost': 3.834547636088619, 'body|boost': 7.258289808242301}\n",
      " > iteration 30/50, took 0:00:16 (remains: 0:05:28)\n",
      "   | 0.2735 (best: 0.2759) - {'url|boost': 0.0, 'title|boost': 2.836922644824168, 'body|boost': 8.24604562164935}\n",
      " > iteration 31/50, took 0:00:20 (remains: 0:06:25)\n",
      "   | 0.2688 (best: 0.2759) - {'url|boost': 0.0, 'title|boost': 5.739103511336964, 'body|boost': 5.093098937107044}\n",
      " > iteration 32/50, took 0:00:21 (remains: 0:06:23)\n",
      "   | 0.2625 (best: 0.2759) - {'url|boost': 10.0, 'title|boost': 10.0, 'body|boost': 10.0}\n",
      " > iteration 33/50, took 0:00:20 (remains: 0:05:42)\n",
      "   | 0.2634 (best: 0.2759) - {'url|boost': 10.0, 'title|boost': 0.5542463342239206, 'body|boost': 7.249424719871511}\n",
      " > iteration 34/50, took 0:00:22 (remains: 0:06:01)\n",
      "   | 0.2725 (best: 0.2759) - {'url|boost': 0.5475568436042112, 'title|boost': 9.886540275804403, 'body|boost': 9.876803615088031}\n",
      " > iteration 35/50, took 0:00:19 (remains: 0:04:51)\n",
      "   | 0.2741 (best: 0.2759) - {'url|boost': 0.0, 'title|boost': 8.323533776422696, 'body|boost': 10.0}\n",
      " > iteration 36/50, took 0:00:21 (remains: 0:04:55)\n",
      "   | 0.2745 (best: 0.2759) - {'url|boost': 0.0, 'title|boost': 6.625786665169419, 'body|boost': 10.0}\n",
      " > iteration 37/50, took 0:00:19 (remains: 0:04:14)\n",
      "   | 0.2708 (best: 0.2759) - {'url|boost': 0.0, 'title|boost': 3.6994024639760443, 'body|boost': 4.003664379199845}\n",
      " > iteration 38/50, took 0:00:14 (remains: 0:02:59)\n",
      "   | 0.2759 (best: 0.2759) - {'url|boost': 0.0, 'title|boost': 2.373407770931073, 'body|boost': 5.167387216431255}\n",
      " > iteration 39/50, took 0:00:18 (remains: 0:03:22)\n",
      "   | 0.2742 (best: 0.2759) - {'url|boost': 0.0, 'title|boost': 2.80965642603826, 'body|boost': 5.729507729395368}\n",
      " > iteration 40/50, took 0:00:16 (remains: 0:02:43)\n",
      "   | 0.2740 (best: 0.2759) - {'url|boost': 0.0, 'title|boost': 1.881147774067523, 'body|boost': 5.32116582865}\n",
      " > iteration 41/50, took 0:00:23 (remains: 0:03:28)\n",
      "   | 0.2676 (best: 0.2759) - {'url|boost': 9.833327970371672, 'title|boost': 0.21562632450229605, 'body|boost': 9.855035453477937}\n",
      " > iteration 42/50, took 0:00:19 (remains: 0:02:33)\n",
      "   | 0.2737 (best: 0.2759) - {'url|boost': 0.0, 'title|boost': 2.4885750057607097, 'body|boost': 4.589703184592915}\n",
      " > iteration 43/50, took 0:00:21 (remains: 0:02:33)\n",
      "   | 0.2764 (best: 0.2764) - {'url|boost': 0.0, 'title|boost': 7.4224836373211005, 'body|boost': 10.0}\n",
      " > iteration 44/50, took 0:00:22 (remains: 0:02:13)\n",
      "   | 0.2764 (best: 0.2764) - {'url|boost': 0.0, 'title|boost': 7.440105571079309, 'body|boost': 10.0}\n",
      " > iteration 45/50, took 0:00:13 (remains: 0:01:06)\n",
      "   | 0.2281 (best: 0.2764) - {'url|boost': 0.1712761979725286, 'title|boost': 9.951037647668969, 'body|boost': 0.37954183708532546}\n",
      " > iteration 46/50, took 0:00:23 (remains: 0:01:34)\n",
      "   | 0.2718 (best: 0.2764) - {'url|boost': 2.045431013738626, 'title|boost': 7.378246273655503, 'body|boost': 10.0}\n",
      " > iteration 47/50, took 0:00:20 (remains: 0:01:02)\n",
      "   | 0.2761 (best: 0.2764) - {'url|boost': 0.0, 'title|boost': 2.3452599237687966, 'body|boost': 6.199906195889553}\n",
      " > iteration 48/50, took 0:00:23 (remains: 0:00:47)\n",
      "   | 0.2558 (best: 0.2764) - {'url|boost': 9.882348081861098, 'title|boost': 9.92370234508859, 'body|boost': 6.898559063079546}\n",
      " > iteration 49/50, took 0:00:23 (remains: 0:00:23)\n",
      "   | 0.2640 (best: 0.2764) - {'url|boost': 9.939455523318706, 'title|boost': 7.276086896158511, 'body|boost': 9.835561737848025}\n",
      " > iteration 50/50, took 0:00:26 (remains: 0:00:00)\n",
      "   | 0.2753 (best: 0.2764) - {'url|boost': 0.01712137224651911, 'title|boost': 6.254095382919132, 'body|boost': 7.661056590220924}\n",
      "Best score: 0.2764\n",
      "Best params: {'url|boost': 0.0, 'title|boost': 7.4224836373211005, 'body|boost': 10.0}\n",
      "Final params: {'url|boost': 0.0, 'title|boost': 7.4224836373211005, 'body|boost': 10.0}\n",
      "\n",
      "CPU times: user 1min 8s, sys: 16.5 s, total: 1min 24s\n",
      "Wall time: 15min 21s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "_, _, final_params, metadata = optimize_query_mrr100_templated(es, max_concurrent_searches, index, _templates, template_id,\n",
    "    config_space=Config.parse({\n",
    "        'method': 'bayesian',\n",
    "        'num_iterations': 50,\n",
    "        'num_initial_points': 20,\n",
    "        'space': {\n",
    "            'url|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'title|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'body|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "        }\n",
    "    }))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 9 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = plot_objective(metadata, sample_source='result')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Evaluation with: MRR@100\n",
      "Score: 0.2976\n",
      "CPU times: user 2.1 s, sys: 658 ms, total: 2.76 s\n",
      "Wall time: 2min 25s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params=final_params)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'url|boost': 0.0, 'title|boost': 7.4224836373211005, 'body|boost': 10.0}"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_params"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Base fields + bigrams"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "_field_names = [\n",
    "    'url',\n",
    "    'title', 'title.bigrams',\n",
    "    'body', 'body.bigrams',\n",
    "]\n",
    "_templates = deepcopy(base_templates)\n",
    "_match_queries = [match_query(x) for x in _field_names]\n",
    "_templates[0]['template']['source']['query']['bool'] = { 'should': _match_queries }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Evaluation with: MRR@100\n",
      "Score: 0.2696\n",
      "CPU times: user 2 s, sys: 469 ms, total: 2.47 s\n",
      "Wall time: 5min 17s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params={\n",
    "    'url|boost': 1.0,\n",
    "    'title|boost': 1.0,\n",
    "    'title_bigrams|boost': 1.0,\n",
    "    'body|boost': 1.0,\n",
    "    'body_bigrams|boost': 1.0,\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimizing parameters\n",
      " - metric: MRR@100\n",
      " - queries: data/msmarco-document-sampled-queries.1000.tsv\n",
      " - queries: data/msmarco/document/msmarco-doctrain-qrels.tsv\n",
      " > iteration 1/50, took 0:01:07 (remains: 0:55:19)\n",
      "   | 0.2514 (best: 0.2514) - {'url|boost': 5.3156102464480615, 'title|boost': 6.093117674508318, 'title_bigrams|boost': 0.0980657889274872, 'body|boost': 3.5926238667815364, 'body_bigrams|boost': 7.439154932530904}\n",
      " > iteration 2/50, took 0:01:09 (remains: 0:55:14)\n",
      "   | 0.2504 (best: 0.2514) - {'url|boost': 9.454092716557145, 'title|boost': 4.911697195266615, 'title_bigrams|boost': 2.6443576650498883, 'body|boost': 2.873032552074825, 'body_bigrams|boost': 5.429867134003954}\n",
      " > iteration 3/50, took 0:01:15 (remains: 0:58:51)\n",
      "   | 0.2591 (best: 0.2591) - {'url|boost': 9.189714620484683, 'title|boost': 0.08193572562694153, 'title_bigrams|boost': 3.3200856235436267, 'body|boost': 8.389343184645242, 'body_bigrams|boost': 0.9512096420261409}\n",
      " > iteration 4/50, took 0:01:11 (remains: 0:54:59)\n",
      "   | 0.2487 (best: 0.2591) - {'url|boost': 2.3996011929192678, 'title|boost': 4.121305251700149, 'title_bigrams|boost': 3.6309972544061635, 'body|boost': 3.0731592561203684, 'body_bigrams|boost': 4.140896402740276}\n",
      " > iteration 5/50, took 0:01:11 (remains: 0:53:46)\n",
      "   | 0.2512 (best: 0.2591) - {'url|boost': 2.967143995777797, 'title|boost': 8.214448408963616, 'title_bigrams|boost': 8.455765027061988, 'body|boost': 8.949912304733491, 'body_bigrams|boost': 8.556409057755188}\n",
      " > iteration 6/50, took 0:01:14 (remains: 0:54:56)\n",
      "   | 0.2349 (best: 0.2591) - {'url|boost': 6.906322252608211, 'title|boost': 7.394486808020364, 'title_bigrams|boost': 6.033126831757496, 'body|boost': 2.2231605412479434, 'body_bigrams|boost': 5.707017287411232}\n",
      " > iteration 7/50, took 0:01:13 (remains: 0:52:29)\n",
      "   | 0.2242 (best: 0.2591) - {'url|boost': 3.5767102970167692, 'title|boost': 9.886758286598157, 'title_bigrams|boost': 6.736492814751465, 'body|boost': 0.9910897087692818, 'body_bigrams|boost': 4.722571133366352}\n",
      " > iteration 8/50, took 0:01:16 (remains: 0:53:24)\n",
      "   | 0.2471 (best: 0.2591) - {'url|boost': 9.915749340337959, 'title|boost': 6.775233365910269, 'title_bigrams|boost': 3.5913757507698634, 'body|boost': 3.1192251977435865, 'body_bigrams|boost': 7.745368182222022}\n",
      " > iteration 9/50, took 0:01:16 (remains: 0:52:24)\n",
      "   | 0.2507 (best: 0.2591) - {'url|boost': 0.2216854682182601, 'title|boost': 7.991493648923563, 'title_bigrams|boost': 9.715599672339826, 'body|boost': 9.825189087254543, 'body_bigrams|boost': 8.677643184872615}\n",
      " > iteration 10/50, took 0:01:14 (remains: 0:49:49)\n",
      "   | 0.2329 (best: 0.2591) - {'url|boost': 8.424111029807275, 'title|boost': 8.364457438151602, 'title_bigrams|boost': 5.760479186369768, 'body|boost': 0.7960325099804978, 'body_bigrams|boost': 8.780067356306468}\n",
      " > iteration 11/50, took 0:01:13 (remains: 0:47:47)\n",
      "   | 0.2609 (best: 0.2609) - {'url|boost': 6.660551097912424, 'title|boost': 9.32888280955267, 'title_bigrams|boost': 0.6605159420798968, 'body|boost': 9.006816053460788, 'body_bigrams|boost': 9.481897394537137}\n",
      " > iteration 12/50, took 0:01:12 (remains: 0:45:45)\n",
      "   | 0.2488 (best: 0.2609) - {'url|boost': 9.072288338175383, 'title|boost': 9.081735042409276, 'title_bigrams|boost': 2.943176562179071, 'body|boost': 3.957521386241467, 'body_bigrams|boost': 6.250680127332132}\n",
      " > iteration 13/50, took 0:01:15 (remains: 0:46:36)\n",
      "   | 0.2380 (best: 0.2609) - {'url|boost': 5.8089144002207025, 'title|boost': 3.285386276420667, 'title_bigrams|boost': 6.8238103205826794, 'body|boost': 5.256415674333153, 'body_bigrams|boost': 1.2019226027746568}\n",
      " > iteration 14/50, took 0:01:18 (remains: 0:46:56)\n",
      "   | 0.2416 (best: 0.2609) - {'url|boost': 8.169208871957569, 'title|boost': 9.552749859956084, 'title_bigrams|boost': 0.9250214938901237, 'body|boost': 1.1226715859479588, 'body_bigrams|boost': 2.4094248659509248}\n",
      " > iteration 15/50, took 0:01:11 (remains: 0:41:44)\n",
      "   | 0.2493 (best: 0.2609) - {'url|boost': 4.1838782663073015, 'title|boost': 6.93890259288057, 'title_bigrams|boost': 6.192359363997388, 'body|boost': 6.075407435283892, 'body_bigrams|boost': 5.526263939395369}\n",
      " > iteration 16/50, took 0:01:19 (remains: 0:44:46)\n",
      "   | 0.2344 (best: 0.2609) - {'url|boost': 3.487759032409918, 'title|boost': 0.6961137685823527, 'title_bigrams|boost': 1.3822729328305818, 'body|boost': 2.467277274861162, 'body_bigrams|boost': 7.753912376292239}\n",
      " > iteration 17/50, took 0:01:18 (remains: 0:43:03)\n",
      "   | 0.2573 (best: 0.2609) - {'url|boost': 3.2935065109711776, 'title|boost': 3.4088648603862333, 'title_bigrams|boost': 5.698203403993649, 'body|boost': 7.782534507562941, 'body_bigrams|boost': 1.54110448828125}\n",
      " > iteration 18/50, took 0:01:12 (remains: 0:38:32)\n",
      "   | 0.2445 (best: 0.2609) - {'url|boost': 3.572266523226752, 'title|boost': 0.9276307357577974, 'title_bigrams|boost': 8.023512959964426, 'body|boost': 7.657397995514133, 'body_bigrams|boost': 8.255831732996521}\n",
      " > iteration 19/50, took 0:01:21 (remains: 0:42:01)\n",
      "   | 0.2572 (best: 0.2609) - {'url|boost': 1.8471224852477743, 'title|boost': 1.4083023285561516, 'title_bigrams|boost': 1.888742894659274, 'body|boost': 5.4944291217492065, 'body_bigrams|boost': 4.549259722703166}\n",
      " > iteration 20/50, took 0:01:18 (remains: 0:39:09)\n",
      "   | 0.2205 (best: 0.2609) - {'url|boost': 7.213032867177805, 'title|boost': 9.173043472818646, 'title_bigrams|boost': 8.2729265604401, 'body|boost': 3.348745897113625, 'body_bigrams|boost': 0.6424193705323856}\n",
      " > iteration 21/50, took 0:01:12 (remains: 0:35:16)\n",
      "   | 0.2711 (best: 0.2711) - {'url|boost': 0.0, 'title|boost': 3.7914240624143023, 'title_bigrams|boost': 2.582782787321282, 'body|boost': 10.0, 'body_bigrams|boost': 3.1561456449528915}\n",
      " > iteration 22/50, took 0:01:21 (remains: 0:38:04)\n",
      "   | 0.2755 (best: 0.2755) - {'url|boost': 0.0, 'title|boost': 6.860528080418334, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0}\n",
      " > iteration 23/50, took 0:01:21 (remains: 0:36:37)\n",
      "   | 0.2625 (best: 0.2755) - {'url|boost': 10.0, 'title|boost': 4.438205171164491, 'title_bigrams|boost': 0.0, 'body|boost': 8.380906846149426, 'body_bigrams|boost': 0.0}\n",
      " > iteration 24/50, took 0:01:20 (remains: 0:34:49)\n",
      "   | 0.2685 (best: 0.2755) - {'url|boost': 0.0, 'title|boost': 10.0, 'title_bigrams|boost': 1.4883236071416288, 'body|boost': 10.0, 'body_bigrams|boost': 0.0}\n",
      " > iteration 25/50, took 0:01:20 (remains: 0:33:39)\n",
      "   | 0.2619 (best: 0.2755) - {'url|boost': 2.5457535666079063, 'title|boost': 0.24367067687062544, 'title_bigrams|boost': 0.13853464285092823, 'body|boost': 9.9628883545559, 'body_bigrams|boost': 1.7005418414971032}\n",
      " > iteration 26/50, took 0:01:22 (remains: 0:32:50)\n",
      "   | 0.2735 (best: 0.2755) - {'url|boost': 0.0, 'title|boost': 7.578479976652321, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 3.474175818888824}\n",
      " > iteration 27/50, took 0:01:12 (remains: 0:27:58)\n",
      "   | 0.2746 (best: 0.2755) - {'url|boost': 0.0, 'title|boost': 5.865744349135694, 'title_bigrams|boost': 0.7506055686253876, 'body|boost': 8.465109338146823, 'body_bigrams|boost': 0.0}\n",
      " > iteration 28/50, took 0:01:12 (remains: 0:26:43)\n",
      "   | 0.2760 (best: 0.2760) - {'url|boost': 0.0, 'title|boost': 5.708542725216014, 'title_bigrams|boost': 1.257078004485024, 'body|boost': 10.0, 'body_bigrams|boost': 0.0}\n",
      " > iteration 29/50, took 0:01:19 (remains: 0:27:55)\n",
      "   | 0.2573 (best: 0.2760) - {'url|boost': 8.502712791766605, 'title|boost': 2.00282799960487, 'title_bigrams|boost': 2.5117697951559808, 'body|boost': 9.985556612554442, 'body_bigrams|boost': 9.315834248716254}\n",
      " > iteration 30/50, took 0:01:19 (remains: 0:26:33)\n",
      "   | 0.2740 (best: 0.2760) - {'url|boost': 0.0, 'title|boost': 5.0260475585488065, 'title_bigrams|boost': 0.1368426025145331, 'body|boost': 10.0, 'body_bigrams|boost': 0.0}\n",
      " > iteration 31/50, took 0:01:16 (remains: 0:24:17)\n",
      "   | 0.2610 (best: 0.2760) - {'url|boost': 0.30058499072858186, 'title|boost': 9.933738611646332, 'title_bigrams|boost': 2.9663270471274656, 'body|boost': 9.754420153605565, 'body_bigrams|boost': 8.918000026696134}\n",
      " > iteration 32/50, took 0:01:19 (remains: 0:23:50)\n",
      "   | 0.2560 (best: 0.2760) - {'url|boost': 9.230719381166562, 'title|boost': 8.639222631129131, 'title_bigrams|boost': 4.576743458572738, 'body|boost': 9.948482854349557, 'body_bigrams|boost': 0.0014150979623572815}\n",
      " > iteration 33/50, took 0:01:11 (remains: 0:20:21)\n",
      "   | 0.2361 (best: 0.2760) - {'url|boost': 0.1837093498206144, 'title|boost': 0.12612006964138892, 'title_bigrams|boost': 9.738759515000716, 'body|boost': 9.876152553058033, 'body_bigrams|boost': 0.05485703373486973}\n",
      " > iteration 34/50, took 0:01:17 (remains: 0:20:41)\n",
      "   | 0.2118 (best: 0.2760) - {'url|boost': 6.2856492556847074, 'title|boost': 0.06387836175984708, 'title_bigrams|boost': 9.468644305243647, 'body|boost': 0.3342996066731941, 'body_bigrams|boost': 9.66269281567741}\n",
      " > iteration 35/50, took 0:01:20 (remains: 0:20:03)\n",
      "   | 0.2746 (best: 0.2760) - {'url|boost': 0.0, 'title|boost': 6.424387574044844, 'title_bigrams|boost': 1.1983773328911989, 'body|boost': 10.0, 'body_bigrams|boost': 0.0}\n",
      " > iteration 36/50, took 0:01:20 (remains: 0:18:50)\n",
      "   | 0.2769 (best: 0.2769) - {'url|boost': 0.0, 'title|boost': 7.173378096784241, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0}\n",
      " > iteration 37/50, took 0:01:19 (remains: 0:17:10)\n",
      "   | 0.2512 (best: 0.2769) - {'url|boost': 0.24478482332547463, 'title|boost': 5.20749858512768, 'title_bigrams|boost': 0.6584266671877516, 'body|boost': 9.382467294658102, 'body_bigrams|boost': 9.933010308016097}\n",
      " > iteration 38/50, took 0:01:17 (remains: 0:15:30)\n",
      "   | 0.2771 (best: 0.2771) - {'url|boost': 0.0, 'title|boost': 6.858095392186523, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 1.1023075601019108}\n",
      " > iteration 39/50, took 0:01:16 (remains: 0:13:59)\n",
      "   | 0.2358 (best: 0.2771) - {'url|boost': 1.9301902810656908, 'title|boost': 0.1383687212387186, 'title_bigrams|boost': 0.6182461489481096, 'body|boost': 0.18976230630002092, 'body_bigrams|boost': 1.0622219714162164}\n",
      " > iteration 40/50, took 0:01:20 (remains: 0:13:28)\n",
      "   | 0.2655 (best: 0.2771) - {'url|boost': 9.457111568010903, 'title|boost': 9.665052470886476, 'title_bigrams|boost': 0.14126203957710695, 'body|boost': 9.861129314158728, 'body_bigrams|boost': 3.446750174372599}\n",
      " > iteration 41/50, took 0:01:13 (remains: 0:10:57)\n",
      "   | 0.2480 (best: 0.2771) - {'url|boost': 9.739038204799929, 'title|boost': 4.545343466707301, 'title_bigrams|boost': 9.988906206955395, 'body|boost': 9.611635804317265, 'body_bigrams|boost': 7.642583101989019}\n",
      " > iteration 42/50, took 0:01:22 (remains: 0:10:58)\n",
      "   | 0.2622 (best: 0.2771) - {'url|boost': 9.613664472168653, 'title|boost': 3.4605674819377326, 'title_bigrams|boost': 0.7461899998139444, 'body|boost': 9.995448774105602, 'body_bigrams|boost': 4.320933378072555}\n",
      " > iteration 43/50, took 0:01:13 (remains: 0:08:36)\n",
      "   | 0.2662 (best: 0.2771) - {'url|boost': 0.005328217335915931, 'title|boost': 7.434007805185966, 'title_bigrams|boost': 0.04997250519071628, 'body|boost': 5.382662366556907, 'body_bigrams|boost': 0.02204549673216816}\n",
      " > iteration 44/50, took 0:01:12 (remains: 0:07:17)\n",
      "   | 0.2763 (best: 0.2771) - {'url|boost': 0.0, 'title|boost': 7.271031817816612, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.6931952380444943}\n",
      " > iteration 45/50, took 0:01:20 (remains: 0:06:42)\n",
      "   | 0.2575 (best: 0.2771) - {'url|boost': 9.84453994679927, 'title|boost': 8.916031389580239, 'title_bigrams|boost': 4.241345219889421, 'body|boost': 9.855493912658348, 'body_bigrams|boost': 9.992878147378358}\n",
      " > iteration 46/50, took 0:01:13 (remains: 0:04:54)\n",
      "   | 0.2418 (best: 0.2771) - {'url|boost': 0.7622652122873476, 'title|boost': 7.735695455664481, 'title_bigrams|boost': 9.784318868316536, 'body|boost': 9.995374528348634, 'body_bigrams|boost': 0.20633033534437464}\n",
      " > iteration 47/50, took 0:01:22 (remains: 0:04:07)\n",
      "   | 0.2762 (best: 0.2771) - {'url|boost': 0.0, 'title|boost': 7.2977367351272076, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0}\n",
      " > iteration 48/50, took 0:01:20 (remains: 0:02:40)\n",
      "   | 0.2385 (best: 0.2771) - {'url|boost': 0.1991836679066528, 'title|boost': 9.592775519017126, 'title_bigrams|boost': 0.4445710302292339, 'body|boost': 0.2223360168294353, 'body_bigrams|boost': 9.908977109266157}\n",
      " > iteration 49/50, took 0:01:21 (remains: 0:01:21)\n",
      "   | 0.2765 (best: 0.2771) - {'url|boost': 0.0, 'title|boost': 7.202022650836014, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.8970070922228518}\n",
      " > iteration 50/50, took 0:01:20 (remains: 0:00:00)\n",
      "   | 0.2489 (best: 0.2771) - {'url|boost': 9.02767044842631, 'title|boost': 9.674531542045692, 'title_bigrams|boost': 9.589344821238292, 'body|boost': 8.662683294286726, 'body_bigrams|boost': 9.8946420698318}\n",
      "Best score: 0.2771\n",
      "Best params: {'url|boost': 0.0, 'title|boost': 6.858095392186523, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 1.1023075601019108}\n",
      "Final params: {'url|boost': 0.0, 'title|boost': 6.858095392186523, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 1.1023075601019108}\n",
      "\n",
      "CPU times: user 1min 9s, sys: 15.3 s, total: 1min 25s\n",
      "Wall time: 1h 3min 58s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "_, _, final_params, metadata = optimize_query_mrr100_templated(es, max_concurrent_searches, index, _templates, template_id,\n",
    "    config_space=Config.parse({\n",
    "        'method': 'bayesian',\n",
    "        'num_iterations': 50,\n",
    "        'num_initial_points': 20,\n",
    "        'space': {\n",
    "            'url|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'title|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'title_bigrams|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'body|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'body_bigrams|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "        }\n",
    "    }))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 25 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = plot_objective(metadata, sample_source='result')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Evaluation with: MRR@100\n",
      "Score: 0.2982\n",
      "CPU times: user 1.79 s, sys: 715 ms, total: 2.5 s\n",
      "Wall time: 5min 42s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params=final_params)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'url|boost': 0.0,\n",
       " 'title|boost': 6.858095392186523,\n",
       " 'title_bigrams|boost': 0.0,\n",
       " 'body|boost': 10.0,\n",
       " 'body_bigrams|boost': 1.1023075601019108}"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_params"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Base fields + expansions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "_field_names = [\n",
    "    'url',\n",
    "    'title',\n",
    "    'body',\n",
    "    'expansions',\n",
    "]\n",
    "_templates = deepcopy(base_templates)\n",
    "_match_queries = [match_query(x) for x in _field_names]\n",
    "_templates[0]['template']['source']['query']['bool'] = { 'should': _match_queries }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Evaluation with: MRR@100\n",
      "Score: 0.3269\n",
      "CPU times: user 2.45 s, sys: 853 ms, total: 3.3 s\n",
      "Wall time: 3min\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params={\n",
    "    'url|boost': 1.0,\n",
    "    'title|boost': 1.0,\n",
    "    'body|boost': 1.0,\n",
    "    'expansions|boost': 1.0,\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimizing parameters\n",
      " - metric: MRR@100\n",
      " - queries: data/msmarco-document-sampled-queries.1000.tsv\n",
      " - queries: data/msmarco/document/msmarco-doctrain-qrels.tsv\n",
      " > iteration 1/50, took 0:00:41 (remains: 0:33:41)\n",
      "   | 0.2794 (best: 0.2794) - {'url|boost': 6.9748458742167525, 'title|boost': 4.238706364735894, 'body|boost': 0.17615276307859198, 'expansions|boost': 3.568841146789576}\n",
      " > iteration 2/50, took 0:00:34 (remains: 0:27:15)\n",
      "   | 0.2908 (best: 0.2908) - {'url|boost': 6.805907666457688, 'title|boost': 7.393400222581557, 'body|boost': 2.8558504745598317, 'expansions|boost': 6.388968299508182}\n",
      " > iteration 3/50, took 0:00:28 (remains: 0:22:26)\n",
      "   | 0.3000 (best: 0.3000) - {'url|boost': 8.996924770640076, 'title|boost': 0.7295872361530144, 'body|boost': 9.964784380131032, 'expansions|boost': 4.80824836418291}\n",
      " > iteration 4/50, took 0:00:33 (remains: 0:25:20)\n",
      "   | 0.2660 (best: 0.3000) - {'url|boost': 7.438274874059886, 'title|boost': 3.991898988888561, 'body|boost': 4.620734859466459, 'expansions|boost': 0.49201529444826375}\n",
      " > iteration 5/50, took 0:00:30 (remains: 0:22:49)\n",
      "   | 0.3178 (best: 0.3178) - {'url|boost': 2.9994919118233505, 'title|boost': 3.411492066471435, 'body|boost': 7.3805487925289635, 'expansions|boost': 9.54212846738085}\n",
      " > iteration 6/50, took 0:00:35 (remains: 0:26:07)\n",
      "   | 0.3028 (best: 0.3178) - {'url|boost': 2.2575818515661332, 'title|boost': 8.143950703948239, 'body|boost': 9.357261690585817, 'expansions|boost': 3.8713921464253156}\n",
      " > iteration 7/50, took 0:00:33 (remains: 0:23:49)\n",
      "   | 0.2774 (best: 0.3178) - {'url|boost': 4.228666746775879, 'title|boost': 8.062313786948545, 'body|boost': 4.70860588392577, 'expansions|boost': 1.2463130677227676}\n",
      " > iteration 8/50, took 0:00:32 (remains: 0:22:47)\n",
      "   | 0.2872 (best: 0.3178) - {'url|boost': 8.294671064957912, 'title|boost': 5.588413011165928, 'body|boost': 3.3730894476711986, 'expansions|boost': 4.063855327884218}\n",
      " > iteration 9/50, took 0:00:25 (remains: 0:17:38)\n",
      "   | 0.3131 (best: 0.3178) - {'url|boost': 4.870561091498205, 'title|boost': 1.809141880795624, 'body|boost': 7.810559924974325, 'expansions|boost': 6.994128350537575}\n",
      " > iteration 10/50, took 0:00:20 (remains: 0:13:43)\n",
      "   | 0.2661 (best: 0.3178) - {'url|boost': 9.737863006708832, 'title|boost': 7.026435508938631, 'body|boost': 0.9363521284859823, 'expansions|boost': 2.7103995595545842}\n",
      " > iteration 11/50, took 0:00:41 (remains: 0:26:48)\n",
      "   | 0.3028 (best: 0.3178) - {'url|boost': 7.495852610502329, 'title|boost': 4.041862164153887, 'body|boost': 4.054600572332582, 'expansions|boost': 6.953592521125969}\n",
      " > iteration 12/50, took 0:00:34 (remains: 0:22:09)\n",
      "   | 0.3103 (best: 0.3178) - {'url|boost': 3.696894006209039, 'title|boost': 9.094550013965975, 'body|boost': 9.6951774385835, 'expansions|boost': 8.750899369865154}\n",
      " > iteration 13/50, took 0:00:29 (remains: 0:17:54)\n",
      "   | 0.3022 (best: 0.3178) - {'url|boost': 2.9871780329462934, 'title|boost': 2.3176563871428564, 'body|boost': 8.418813474605994, 'expansions|boost': 3.3891267538773913}\n",
      " > iteration 14/50, took 0:00:34 (remains: 0:20:26)\n",
      "   | 0.2690 (best: 0.3178) - {'url|boost': 8.121271481601127, 'title|boost': 4.927168700637368, 'body|boost': 7.913411751811562, 'expansions|boost': 0.342638403305966}\n",
      " > iteration 15/50, took 0:00:31 (remains: 0:18:09)\n",
      "   | 0.3086 (best: 0.3178) - {'url|boost': 7.189047697470839, 'title|boost': 2.9563442204005512, 'body|boost': 3.349480711078621, 'expansions|boost': 8.471934944918662}\n",
      " > iteration 16/50, took 0:00:32 (remains: 0:18:27)\n",
      "   | 0.2833 (best: 0.3178) - {'url|boost': 3.002923124192191, 'title|boost': 8.44758953776234, 'body|boost': 4.1340608960277505, 'expansions|boost': 2.4138795203882584}\n",
      " > iteration 17/50, took 0:00:35 (remains: 0:19:42)\n",
      "   | 0.3028 (best: 0.3178) - {'url|boost': 0.582388204761113, 'title|boost': 8.344129366801276, 'body|boost': 8.377636801129801, 'expansions|boost': 4.116462269771096}\n",
      " > iteration 18/50, took 0:00:34 (remains: 0:18:24)\n",
      "   | 0.3060 (best: 0.3178) - {'url|boost': 4.640746493337177, 'title|boost': 2.205769259076293, 'body|boost': 4.896975047044251, 'expansions|boost': 3.65804820063274}\n",
      " > iteration 19/50, took 0:00:30 (remains: 0:15:44)\n",
      "   | 0.3131 (best: 0.3178) - {'url|boost': 0.35155406432348496, 'title|boost': 3.375150854486741, 'body|boost': 8.227905224425069, 'expansions|boost': 8.287839197445251}\n",
      " > iteration 20/50, took 0:00:34 (remains: 0:17:00)\n",
      "   | 0.3132 (best: 0.3178) - {'url|boost': 1.2804610574368294, 'title|boost': 3.1211663261437477, 'body|boost': 8.539455854883782, 'expansions|boost': 6.522310366067016}\n",
      " > iteration 21/50, took 0:00:19 (remains: 0:09:24)\n",
      "   | 0.3131 (best: 0.3178) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 3.7181922734578574, 'expansions|boost': 10.0}\n",
      " > iteration 22/50, took 0:00:33 (remains: 0:15:40)\n",
      "   | 0.3080 (best: 0.3178) - {'url|boost': 10.0, 'title|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 10.0}\n",
      " > iteration 23/50, took 0:00:22 (remains: 0:10:20)\n",
      "   | 0.3130 (best: 0.3178) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 3.900349067612808, 'expansions|boost': 5.612065025244274}\n",
      " > iteration 24/50, took 0:00:21 (remains: 0:09:20)\n",
      "   | 0.3025 (best: 0.3178) - {'url|boost': 0.0, 'title|boost': 10.0, 'body|boost': 3.30217301289911, 'expansions|boost': 10.0}\n",
      " > iteration 25/50, took 0:00:17 (remains: 0:07:15)\n",
      "   | 0.3090 (best: 0.3178) - {'url|boost': 0.0, 'title|boost': 1.3877787807814457e-16, 'body|boost': 10.0, 'expansions|boost': 10.0}\n",
      " > iteration 26/50, took 0:00:25 (remains: 0:10:05)\n",
      "   | 0.3020 (best: 0.3178) - {'url|boost': 10.0, 'title|boost': 10.0, 'body|boost': 10.0, 'expansions|boost': 10.0}\n",
      " > iteration 27/50, took 0:00:15 (remains: 0:05:53)\n",
      "   | 0.3052 (best: 0.3178) - {'url|boost': 6.340430907091753, 'title|boost': 0.07867235604054773, 'body|boost': 0.7357454798812753, 'expansions|boost': 9.940610208225152}\n",
      " > iteration 28/50, took 0:00:30 (remains: 0:11:11)\n",
      "   | 0.3107 (best: 0.3178) - {'url|boost': 7.315553036412643, 'title|boost': 0.14956704977902915, 'body|boost': 6.547972064023796, 'expansions|boost': 9.742009840143265}\n",
      " > iteration 29/50, took 0:00:33 (remains: 0:11:43)\n",
      "   | 0.3091 (best: 0.3178) - {'url|boost': 0.22118397415261673, 'title|boost': 9.457205640786611, 'body|boost': 9.646957469201405, 'expansions|boost': 9.871008217984492}\n",
      " > iteration 30/50, took 0:00:09 (remains: 0:03:19)\n",
      "   | 0.3059 (best: 0.3178) - {'url|boost': 0.012498013065537219, 'title|boost': 0.1383248334250098, 'body|boost': 0.6692809730633932, 'expansions|boost': 7.815782910663493}\n",
      " > iteration 31/50, took 0:00:23 (remains: 0:07:18)\n",
      "   | 0.2655 (best: 0.3178) - {'url|boost': 0.007390191093544775, 'title|boost': 1.522439434506079, 'body|boost': 9.675147976259476, 'expansions|boost': 0.324470142591572}\n",
      " > iteration 32/50, took 0:00:31 (remains: 0:09:35)\n",
      "   | 0.3101 (best: 0.3178) - {'url|boost': 0.0, 'title|boost': 5.731688710610724, 'body|boost': 10.0, 'expansions|boost': 10.0}\n",
      " > iteration 33/50, took 0:00:28 (remains: 0:08:02)\n",
      "   | 0.2866 (best: 0.3178) - {'url|boost': 10.0, 'title|boost': 10.0, 'body|boost': 0.0, 'expansions|boost': 10.0}\n",
      " > iteration 34/50, took 0:00:29 (remains: 0:07:57)\n",
      "   | 0.3164 (best: 0.3178) - {'url|boost': 2.814879396832846, 'title|boost': 3.986162695553749, 'body|boost': 5.153489012156008, 'expansions|boost': 10.0}\n",
      " > iteration 35/50, took 0:00:35 (remains: 0:08:46)\n",
      "   | 0.2938 (best: 0.3178) - {'url|boost': 9.790500987816765, 'title|boost': 8.766828140008176, 'body|boost': 9.981579607709042, 'expansions|boost': 5.630690678432896}\n",
      " > iteration 36/50, took 0:00:23 (remains: 0:05:22)\n",
      "   | 0.3058 (best: 0.3178) - {'url|boost': 0.0641347285628291, 'title|boost': 0.018515842729613933, 'body|boost': 9.078385891769798, 'expansions|boost': 6.468925585261429}\n",
      " > iteration 37/50, took 0:00:23 (remains: 0:05:06)\n",
      "   | 0.3154 (best: 0.3178) - {'url|boost': 4.842098306754039, 'title|boost': 4.3398447403679326, 'body|boost': 7.804133151863166, 'expansions|boost': 10.0}\n",
      " > iteration 38/50, took 0:00:27 (remains: 0:05:31)\n",
      "   | 0.3169 (best: 0.3178) - {'url|boost': 2.3096168193834505, 'title|boost': 1.718202669598376, 'body|boost': 5.297781707874232, 'expansions|boost': 8.245099474798009}\n",
      " > iteration 39/50, took 0:00:27 (remains: 0:05:05)\n",
      "   | 0.3157 (best: 0.3178) - {'url|boost': 2.489235022546382, 'title|boost': 2.0620401261016905, 'body|boost': 6.3277635804218715, 'expansions|boost': 10.0}\n",
      " > iteration 40/50, took 0:00:21 (remains: 0:03:31)\n",
      "   | 0.3187 (best: 0.3187) - {'url|boost': 3.1468208691615884, 'title|boost': 0.0, 'body|boost': 4.966740874883074, 'expansions|boost': 6.539825557337352}\n",
      " > iteration 41/50, took 0:00:31 (remains: 0:04:40)\n",
      "   | 0.2994 (best: 0.3187) - {'url|boost': 9.644747549207604, 'title|boost': 0.14701802289755264, 'body|boost': 0.6645768188560653, 'expansions|boost': 7.298906489031436}\n",
      " > iteration 42/50, took 0:00:13 (remains: 0:01:50)\n",
      "   | 0.3043 (best: 0.3187) - {'url|boost': 0.21423751883973055, 'title|boost': 0.3142912067432569, 'body|boost': 0.011322613854027887, 'expansions|boost': 0.9426914655049992}\n",
      " > iteration 43/50, took 0:00:18 (remains: 0:02:11)\n",
      "   | 0.3093 (best: 0.3187) - {'url|boost': 0.36138090259639105, 'title|boost': 0.07331329262909027, 'body|boost': 0.30757426252311154, 'expansions|boost': 4.026415395383298}\n",
      " > iteration 44/50, took 0:00:27 (remains: 0:02:47)\n",
      "   | 0.3193 (best: 0.3193) - {'url|boost': 3.5470521503739763, 'title|boost': 0.0, 'body|boost': 4.699163527131726, 'expansions|boost': 7.188557972210847}\n",
      " > iteration 45/50, took 0:00:33 (remains: 0:02:45)\n",
      "   | 0.3054 (best: 0.3193) - {'url|boost': 6.312701594324666, 'title|boost': 9.995504319565034, 'body|boost': 5.739886314547853, 'expansions|boost': 9.79307391571311}\n",
      " > iteration 46/50, took 0:00:21 (remains: 0:01:24)\n",
      "   | 0.3181 (best: 0.3193) - {'url|boost': 3.6553063161107424, 'title|boost': 0.0, 'body|boost': 4.705663738721248, 'expansions|boost': 6.268341586550235}\n",
      " > iteration 47/50, took 0:00:17 (remains: 0:00:53)\n",
      "   | 0.3204 (best: 0.3204) - {'url|boost': 3.5518678716277075, 'title|boost': 0.0, 'body|boost': 4.563019776855929, 'expansions|boost': 7.969157442915904}\n",
      " > iteration 48/50, took 0:00:32 (remains: 0:01:04)\n",
      "   | 0.3122 (best: 0.3204) - {'url|boost': 4.042868173093883, 'title|boost': 0.21173909310765796, 'body|boost': 9.990188870449495, 'expansions|boost': 8.507222326897676}\n",
      " > iteration 49/50, took 0:00:26 (remains: 0:00:26)\n",
      "   | 0.3211 (best: 0.3211) - {'url|boost': 3.620342122510767, 'title|boost': 0.0, 'body|boost': 4.326499660677731, 'expansions|boost': 8.329101716099403}\n",
      " > iteration 50/50, took 0:00:24 (remains: 0:00:00)\n",
      "   | 0.3169 (best: 0.3211) - {'url|boost': 4.312280370684476, 'title|boost': 0.0, 'body|boost': 3.8110800466714263, 'expansions|boost': 10.0}\n",
      "Best score: 0.3211\n",
      "Best params: {'url|boost': 3.620342122510767, 'title|boost': 0.0, 'body|boost': 4.326499660677731, 'expansions|boost': 8.329101716099403}\n",
      "Final params: {'url|boost': 3.620342122510767, 'title|boost': 0.0, 'body|boost': 4.326499660677731, 'expansions|boost': 8.329101716099403}\n",
      "\n",
      "CPU times: user 1min 5s, sys: 13.9 s, total: 1min 18s\n",
      "Wall time: 23min 21s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "_, _, final_params, metadata = optimize_query_mrr100_templated(es, max_concurrent_searches, index, _templates, template_id,\n",
    "    config_space=Config.parse({\n",
    "        'method': 'bayesian',\n",
    "        'num_iterations': 50,\n",
    "        'num_initial_points': 20,\n",
    "        'space': {\n",
    "            'url|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'title|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'body|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'expansions|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "        }\n",
    "    }))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 16 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = plot_objective(metadata, sample_source='result')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Evaluation with: MRR@100\n",
      "Score: 0.3355\n",
      "CPU times: user 1.83 s, sys: 560 ms, total: 2.39 s\n",
      "Wall time: 2min 46s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params=final_params)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'url|boost': 3.620342122510767,\n",
       " 'title|boost': 0.0,\n",
       " 'body|boost': 4.326499660677731,\n",
       " 'expansions|boost': 8.329101716099403}"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_params"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Base fields + expansions + bigrams"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "_field_names = [\n",
    "    'url',\n",
    "    'title', 'title.bigrams',\n",
    "    'body', 'body.bigrams',\n",
    "    'expansions', 'expansions.bigrams',\n",
    "]\n",
    "_templates = deepcopy(base_templates)\n",
    "_match_queries = [match_query(x) for x in _field_names]\n",
    "_templates[0]['template']['source']['query']['bool'] = { 'should': _match_queries }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Evaluation with: MRR@100\n",
      "Score: 0.3203\n",
      "CPU times: user 2.11 s, sys: 720 ms, total: 2.83 s\n",
      "Wall time: 7min 10s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params={\n",
    "    'url|boost': 1.0,\n",
    "    'title|boost': 1.0,\n",
    "    'title_bigrams|boost': 1.0,\n",
    "    'body|boost': 1.0,\n",
    "    'body_bigrams|boost': 1.0,\n",
    "    'expansions|boost': 1.0,\n",
    "    'expansions_bigrams|boost': 1.0\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimizing parameters\n",
      " - metric: MRR@100\n",
      " - queries: data/msmarco-document-sampled-queries.1000.tsv\n",
      " - queries: data/msmarco/document/msmarco-doctrain-qrels.tsv\n",
      " > iteration 1/50, took 0:01:33 (remains: 1:16:06)\n",
      "   | 0.2858 (best: 0.2858) - {'url|boost': 7.1541679958330615, 'title|boost': 7.940231583168092, 'title_bigrams|boost': 8.3662277757047, 'body|boost': 8.026723351132606, 'body_bigrams|boost': 6.059360765028254, 'expansions|boost': 2.096196400438301, 'expansions_bigrams|boost': 2.408668022898794}\n",
      " > iteration 2/50, took 0:01:18 (remains: 1:02:26)\n",
      "   | 0.2896 (best: 0.2896) - {'url|boost': 5.070987936271921, 'title|boost': 3.365360898963276, 'title_bigrams|boost': 3.7195651035687587, 'body|boost': 2.6840194968236313, 'body_bigrams|boost': 9.664545562890144, 'expansions|boost': 4.846790302413292, 'expansions_bigrams|boost': 7.1266945127887205}\n",
      " > iteration 3/50, took 0:01:24 (remains: 1:05:59)\n",
      "   | 0.3018 (best: 0.3018) - {'url|boost': 7.821934651980601, 'title|boost': 0.5997509699115301, 'title_bigrams|boost': 4.890579176456631, 'body|boost': 1.3176869211116429, 'body_bigrams|boost': 6.467815244601493, 'expansions|boost': 8.919264181858198, 'expansions_bigrams|boost': 1.7993513196883728}\n",
      " > iteration 4/50, took 0:01:24 (remains: 1:04:24)\n",
      "   | 0.2924 (best: 0.3018) - {'url|boost': 1.4863094566314663, 'title|boost': 1.297133986203869, 'title_bigrams|boost': 8.017755065277937, 'body|boost': 0.8916765032464004, 'body_bigrams|boost': 6.815024910218465, 'expansions|boost': 6.024971391017834, 'expansions_bigrams|boost': 5.467076078278953}\n",
      " > iteration 5/50, took 0:01:23 (remains: 1:02:58)\n",
      "   | 0.2984 (best: 0.3018) - {'url|boost': 6.287168144349339, 'title|boost': 9.939416111391461, 'title_bigrams|boost': 4.655973795329677, 'body|boost': 0.19377200740639092, 'body_bigrams|boost': 9.803291694030985, 'expansions|boost': 9.769588838220631, 'expansions_bigrams|boost': 7.767471193288804}\n",
      " > iteration 6/50, took 0:01:24 (remains: 1:01:39)\n",
      "   | 0.3054 (best: 0.3054) - {'url|boost': 4.686420652689217, 'title|boost': 2.5152695100842286, 'title_bigrams|boost': 1.6017701518792018, 'body|boost': 9.035260244082757, 'body_bigrams|boost': 6.453934203907604, 'expansions|boost': 9.658882824385769, 'expansions_bigrams|boost': 4.36929806342855}\n",
      " > iteration 7/50, took 0:01:24 (remains: 1:00:12)\n",
      "   | 0.3009 (best: 0.3054) - {'url|boost': 7.751474294335817, 'title|boost': 3.556894202431941, 'title_bigrams|boost': 4.063295556807926, 'body|boost': 8.332736977924325, 'body_bigrams|boost': 8.883671768351594, 'expansions|boost': 7.672742650575069, 'expansions_bigrams|boost': 3.7056355475408593}\n",
      " > iteration 8/50, took 0:01:24 (remains: 0:58:52)\n",
      "   | 0.2747 (best: 0.3054) - {'url|boost': 5.888921894668978, 'title|boost': 7.298052384707752, 'title_bigrams|boost': 2.7990814535343405, 'body|boost': 0.5618725486161092, 'body_bigrams|boost': 6.731240321864266, 'expansions|boost': 0.6901319639678295, 'expansions_bigrams|boost': 5.027371459384398}\n",
      " > iteration 9/50, took 0:01:24 (remains: 0:57:26)\n",
      "   | 0.2938 (best: 0.3054) - {'url|boost': 6.3614908451266015, 'title|boost': 4.2442826766728095, 'title_bigrams|boost': 8.538697719565244, 'body|boost': 5.091157439118542, 'body_bigrams|boost': 8.66518844263258, 'expansions|boost': 4.707471407916084, 'expansions_bigrams|boost': 8.598240350752066}\n",
      " > iteration 10/50, took 0:01:23 (remains: 0:55:50)\n",
      "   | 0.2699 (best: 0.3054) - {'url|boost': 0.43387732184019817, 'title|boost': 3.410478134054406, 'title_bigrams|boost': 0.6423521307610903, 'body|boost': 0.5766745180049716, 'body_bigrams|boost': 6.099066174857467, 'expansions|boost': 1.056358767774377, 'expansions_bigrams|boost': 4.935483108139228}\n",
      " > iteration 11/50, took 0:01:24 (remains: 0:54:37)\n",
      "   | 0.2865 (best: 0.3054) - {'url|boost': 2.8432450065260357, 'title|boost': 2.8568916050721134, 'title_bigrams|boost': 6.8485212107629465, 'body|boost': 0.7179178390967512, 'body_bigrams|boost': 9.0333260387557, 'expansions|boost': 5.34775296434421, 'expansions_bigrams|boost': 3.866854785549596}\n",
      " > iteration 12/50, took 0:01:24 (remains: 0:53:25)\n",
      "   | 0.3118 (best: 0.3118) - {'url|boost': 5.5548244175082075, 'title|boost': 3.764626093096022, 'title_bigrams|boost': 0.8269196464241825, 'body|boost': 9.74116396773451, 'body_bigrams|boost': 0.6105132083074839, 'expansions|boost': 2.779286558568457, 'expansions_bigrams|boost': 7.879106715564104}\n",
      " > iteration 13/50, took 0:01:24 (remains: 0:52:03)\n",
      "   | 0.2782 (best: 0.3118) - {'url|boost': 1.933962897470038, 'title|boost': 8.419186562600638, 'title_bigrams|boost': 5.781522105908401, 'body|boost': 8.263593648751055, 'body_bigrams|boost': 9.961058444815604, 'expansions|boost': 1.3406110240170424, 'expansions_bigrams|boost': 7.516464550790081}\n",
      " > iteration 14/50, took 0:01:23 (remains: 0:50:07)\n",
      "   | 0.2825 (best: 0.3118) - {'url|boost': 0.9915776345727125, 'title|boost': 6.258716073302488, 'title_bigrams|boost': 9.516660832463394, 'body|boost': 1.6082499408373143, 'body_bigrams|boost': 3.659251805701767, 'expansions|boost': 0.9062234965018791, 'expansions_bigrams|boost': 2.9333325384300397}\n",
      " > iteration 15/50, took 0:01:25 (remains: 0:49:35)\n",
      "   | 0.3085 (best: 0.3118) - {'url|boost': 5.850413038376125, 'title|boost': 6.3090067285754845, 'title_bigrams|boost': 2.8788776571335823, 'body|boost': 9.460211665984398, 'body_bigrams|boost': 5.420197211462355, 'expansions|boost': 9.24301094241056, 'expansions_bigrams|boost': 4.905123923745766}\n",
      " > iteration 16/50, took 0:01:23 (remains: 0:47:29)\n",
      "   | 0.2747 (best: 0.3118) - {'url|boost': 5.331917377121872, 'title|boost': 1.6097775124294236, 'title_bigrams|boost': 9.782999838844958, 'body|boost': 8.365384298263486, 'body_bigrams|boost': 9.216334647253548, 'expansions|boost': 3.108122518332104, 'expansions_bigrams|boost': 0.024988727612683673}\n",
      " > iteration 17/50, took 0:01:24 (remains: 0:46:34)\n",
      "   | 0.3026 (best: 0.3118) - {'url|boost': 9.57660922303033, 'title|boost': 2.197176175537467, 'title_bigrams|boost': 2.079358993305038, 'body|boost': 4.021804310263595, 'body_bigrams|boost': 8.854210974513576, 'expansions|boost': 8.185839772325508, 'expansions_bigrams|boost': 7.700799690624893}\n",
      " > iteration 18/50, took 0:01:23 (remains: 0:44:47)\n",
      "   | 0.3010 (best: 0.3118) - {'url|boost': 2.601558600645159, 'title|boost': 2.249714982132645, 'title_bigrams|boost': 0.66301061517279, 'body|boost': 8.87954894356984, 'body_bigrams|boost': 6.628307202245399, 'expansions|boost': 7.063836003253395, 'expansions_bigrams|boost': 2.8410062187016134}\n",
      " > iteration 19/50, took 0:01:24 (remains: 0:43:46)\n",
      "   | 0.3140 (best: 0.3140) - {'url|boost': 6.700186968717011, 'title|boost': 4.518142546210636, 'title_bigrams|boost': 4.204997570979938, 'body|boost': 5.805839634687166, 'body_bigrams|boost': 0.0827836359869394, 'expansions|boost': 8.697515029735918, 'expansions_bigrams|boost': 5.778945606028245}\n",
      " > iteration 20/50, took 0:01:24 (remains: 0:42:03)\n",
      "   | 0.3185 (best: 0.3185) - {'url|boost': 4.164312416422594, 'title|boost': 7.343429941105608, 'title_bigrams|boost': 0.4238388551046302, 'body|boost': 4.970000823462435, 'body_bigrams|boost': 1.89464782811186, 'expansions|boost': 9.058028064216456, 'expansions_bigrams|boost': 2.352438595446846}\n",
      " > iteration 21/50, took 0:01:24 (remains: 0:40:58)\n",
      "   | 0.3045 (best: 0.3185) - {'url|boost': 10.0, 'title|boost': 10.0, 'title_bigrams|boost': 1.4978141265786924, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 6.611162657896143, 'expansions_bigrams|boost': 0.0}\n",
      " > iteration 22/50, took 0:01:25 (remains: 0:39:56)\n",
      "   | 0.3136 (best: 0.3185) - {'url|boost': 0.0, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 3.9959634300802587}\n",
      " > iteration 23/50, took 0:01:25 (remains: 0:38:15)\n",
      "   | 0.3115 (best: 0.3185) - {'url|boost': 0.0, 'title|boost': 3.6881985956370436, 'title_bigrams|boost': 9.90526529490159, 'body|boost': 9.595397492888472, 'body_bigrams|boost': 0.0, 'expansions|boost': 6.116940707473546, 'expansions_bigrams|boost': 10.0}\n",
      " > iteration 24/50, took 0:01:25 (remains: 0:37:06)\n",
      "   | 0.3073 (best: 0.3185) - {'url|boost': 2.731461545764617, 'title|boost': 2.3783557680781944, 'title_bigrams|boost': 2.0372296601687223, 'body|boost': 0.0, 'body_bigrams|boost': 1.7224287051827152, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 10.0}\n",
      " > iteration 25/50, took 0:01:23 (remains: 0:34:54)\n",
      "   | 0.3093 (best: 0.3185) - {'url|boost': 0.9229992946836663, 'title|boost': 2.268879644667201, 'title_bigrams|boost': 2.0027535580568028, 'body|boost': 0.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 7.7165986018944785, 'expansions_bigrams|boost': 0.0}\n",
      " > iteration 26/50, took 0:01:25 (remains: 0:34:23)\n",
      "   | 0.3134 (best: 0.3185) - {'url|boost': 9.531535310747737, 'title|boost': 9.318974052552063, 'title_bigrams|boost': 2.135352819571257, 'body|boost': 9.895518418834538, 'body_bigrams|boost': 2.275489052288266, 'expansions|boost': 6.211082683437118, 'expansions_bigrams|boost': 8.691077086540165}\n",
      " > iteration 27/50, took 0:02:03 (remains: 0:47:25)\n",
      "   | 0.3080 (best: 0.3185) - {'url|boost': 8.757296576536897, 'title|boost': 7.211148960744572, 'title_bigrams|boost': 7.097200083518578, 'body|boost': 1.01427151964013, 'body_bigrams|boost': 1.3412022846253226, 'expansions|boost': 9.884194210087289, 'expansions_bigrams|boost': 0.2686214037743873}\n",
      " > iteration 28/50, took 0:01:32 (remains: 0:33:53)\n",
      "   | 0.3072 (best: 0.3185) - {'url|boost': 0.0923639728085024, 'title|boost': 7.7795514043433105, 'title_bigrams|boost': 1.2556014588159394, 'body|boost': 8.16362101068206, 'body_bigrams|boost': 4.1994067070104455, 'expansions|boost': 9.80110232268068, 'expansions_bigrams|boost': 0.4604293255715342}\n",
      " > iteration 29/50, took 0:01:33 (remains: 0:32:38)\n",
      "   | 0.3046 (best: 0.3185) - {'url|boost': 10.0, 'title|boost': 9.778365339967014, 'title_bigrams|boost': 8.452369572837968, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 0.0, 'expansions_bigrams|boost': 10.0}\n",
      " > iteration 30/50, took 0:01:40 (remains: 0:33:22)\n",
      "   | 0.3177 (best: 0.3185) - {'url|boost': 3.842406660798479, 'title|boost': 0.0, 'title_bigrams|boost': 10.0, 'body|boost': 10.0, 'body_bigrams|boost': 1.549676421570555, 'expansions|boost': 7.483002770728983, 'expansions_bigrams|boost': 4.47693310854563}\n",
      " > iteration 31/50, took 0:01:34 (remains: 0:29:46)\n",
      "   | 0.3168 (best: 0.3185) - {'url|boost': 4.056224678123861, 'title|boost': 9.948402268354583, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 1.1977899539239936, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 0.8954784127624215}\n",
      " > iteration 32/50, took 0:01:37 (remains: 0:29:12)\n",
      "   | 0.2974 (best: 0.3185) - {'url|boost': 0.0, 'title|boost': 8.032907471124453, 'title_bigrams|boost': 2.3260532668399954, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 0.0, 'expansions_bigrams|boost': 10.0}\n",
      " > iteration 33/50, took 0:01:33 (remains: 0:26:27)\n",
      "   | 0.2596 (best: 0.3185) - {'url|boost': 9.236766998247248, 'title|boost': 8.621598988537357, 'title_bigrams|boost': 6.736349494431121, 'body|boost': 0.12245839744090439, 'body_bigrams|boost': 0.11003833447176926, 'expansions|boost': 0.1728628363072471, 'expansions_bigrams|boost': 1.8069136437612834}\n",
      " > iteration 34/50, took 0:01:32 (remains: 0:24:37)\n",
      "   | 0.3195 (best: 0.3195) - {'url|boost': 2.6712020627509094, 'title|boost': 0.0, 'title_bigrams|boost': 10.0, 'body|boost': 5.304640563117284, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 0.0}\n",
      " > iteration 35/50, took 0:01:35 (remains: 0:23:53)\n",
      "   | 0.3079 (best: 0.3195) - {'url|boost': 1.0805432776533561, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 9.105828086081926, 'body_bigrams|boost': 0.0, 'expansions|boost': 6.928911526522081, 'expansions_bigrams|boost': 0.0}\n",
      " > iteration 36/50, took 0:09:01 (remains: 2:06:22)\n",
      "   | 0.3144 (best: 0.3195) - {'url|boost': 5.257431787798701, 'title|boost': 0.0, 'title_bigrams|boost': 10.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 10.0}\n",
      " > iteration 37/50, took 0:02:37 (remains: 0:34:10)\n",
      "   | 0.3052 (best: 0.3195) - {'url|boost': 0.1655544812381138, 'title|boost': 7.3618535350008845, 'title_bigrams|boost': 4.003399457800069, 'body|boost': 9.636558267651136, 'body_bigrams|boost': 5.372324989959384, 'expansions|boost': 9.695110243731955, 'expansions_bigrams|boost': 9.750419949102302}\n",
      " > iteration 38/50, took 0:01:30 (remains: 0:18:08)\n",
      "   | 0.3083 (best: 0.3195) - {'url|boost': 0.0, 'title|boost': 9.127609013123632, 'title_bigrams|boost': 0.19694211960236518, 'body|boost': 0.0, 'body_bigrams|boost': 2.3025339992560956, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 0.0}\n",
      " > iteration 39/50, took 0:01:36 (remains: 0:17:46)\n",
      "   | 0.3053 (best: 0.3195) - {'url|boost': 8.925835804598837, 'title|boost': 0.21038261908266523, 'title_bigrams|boost': 2.1682104380865392, 'body|boost': 9.585231534787571, 'body_bigrams|boost': 9.29290949777668, 'expansions|boost': 9.783131005091153, 'expansions_bigrams|boost': 9.62786442183899}\n",
      " > iteration 40/50, took 0:01:35 (remains: 0:15:57)\n",
      "   | 0.3119 (best: 0.3195) - {'url|boost': 4.641015641648056, 'title|boost': 10.0, 'title_bigrams|boost': 10.0, 'body|boost': 10.0, 'body_bigrams|boost': 2.081092665466997, 'expansions|boost': 6.056081468604496, 'expansions_bigrams|boost': 10.0}\n",
      " > iteration 41/50, took 0:04:41 (remains: 0:42:17)\n",
      "   | 0.3168 (best: 0.3195) - {'url|boost': 2.9437436133512564, 'title|boost': 10.0, 'title_bigrams|boost': 10.0, 'body|boost': 4.953474548337018, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 4.121638000161629}\n",
      " > iteration 42/50, took 0:01:31 (remains: 0:12:13)\n",
      "   | 0.3111 (best: 0.3195) - {'url|boost': 9.901487637593405, 'title|boost': 8.785165993901852, 'title_bigrams|boost': 7.846783019840693, 'body|boost': 5.5818046275278, 'body_bigrams|boost': 0.6295874216532594, 'expansions|boost': 9.973582758593786, 'expansions_bigrams|boost': 9.840935136438942}\n",
      " > iteration 43/50, took 0:01:32 (remains: 0:10:50)\n",
      "   | 0.3211 (best: 0.3211) - {'url|boost': 5.949038063682114, 'title|boost': 0.0, 'title_bigrams|boost': 10.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 2.2577356135425655}\n",
      " > iteration 44/50, took 0:05:25 (remains: 0:32:33)\n",
      "   | 0.2998 (best: 0.3211) - {'url|boost': 9.720589848779037, 'title|boost': 3.2876991181241384, 'title_bigrams|boost': 3.9772926151158017, 'body|boost': 8.727774052593858, 'body_bigrams|boost': 8.489700871340338, 'expansions|boost': 9.745618361084535, 'expansions_bigrams|boost': 0.020192766146089895}\n",
      " > iteration 45/50, took 0:01:28 (remains: 0:07:21)\n",
      "   | 0.3191 (best: 0.3211) - {'url|boost': 8.483532498888572, 'title|boost': 5.159733668391282, 'title_bigrams|boost': 0.13059134586056012, 'body|boost': 9.647332724129, 'body_bigrams|boost': 0.008995135636127307, 'expansions|boost': 9.978558038280315, 'expansions_bigrams|boost': 5.657342610501402}\n",
      " > iteration 46/50, took 0:01:29 (remains: 0:05:57)\n",
      "   | 0.3101 (best: 0.3211) - {'url|boost': 9.609465469028288, 'title|boost': 9.659219869885327, 'title_bigrams|boost': 7.5123848929036505, 'body|boost': 2.705207326581171, 'body_bigrams|boost': 0.05945388558007304, 'expansions|boost': 6.4361165106530205, 'expansions_bigrams|boost': 9.911041164930177}\n",
      " > iteration 47/50, took 0:01:29 (remains: 0:04:28)\n",
      "   | 0.3210 (best: 0.3211) - {'url|boost': 5.51047539511977, 'title|boost': 0.0, 'title_bigrams|boost': 10.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 2.027190449606874}\n",
      " > iteration 48/50, took 0:01:27 (remains: 0:02:54)\n",
      "   | 0.3166 (best: 0.3211) - {'url|boost': 9.996945230156248, 'title|boost': 1.6397240801065496, 'title_bigrams|boost': 7.900443533028488, 'body|boost': 9.120899577763641, 'body_bigrams|boost': 0.2236219567057052, 'expansions|boost': 8.285751356494142, 'expansions_bigrams|boost': 4.102368844835941}\n",
      " > iteration 49/50, took 0:01:30 (remains: 0:01:30)\n",
      "   | 0.3155 (best: 0.3211) - {'url|boost': 5.62401168307235, 'title|boost': 7.077832751800114, 'title_bigrams|boost': 0.030242346639544067, 'body|boost': 9.429640016774036, 'body_bigrams|boost': 0.31618446558522867, 'expansions|boost': 8.977289792955542, 'expansions_bigrams|boost': 9.935080063119646}\n",
      " > iteration 50/50, took 0:01:27 (remains: 0:00:00)\n",
      "   | 0.3085 (best: 0.3211) - {'url|boost': 0.23315776726994922, 'title|boost': 1.307502690909005, 'title_bigrams|boost': 3.667499678497898, 'body|boost': 9.7594783017461, 'body_bigrams|boost': 0.07026680971438327, 'expansions|boost': 1.6740702910068186, 'expansions_bigrams|boost': 5.2836750757317485}\n",
      "Best score: 0.3211\n",
      "Best params: {'url|boost': 5.949038063682114, 'title|boost': 0.0, 'title_bigrams|boost': 10.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 2.2577356135425655}\n",
      "Final params: {'url|boost': 5.949038063682114, 'title|boost': 0.0, 'title_bigrams|boost': 10.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 2.2577356135425655}\n",
      "\n",
      "CPU times: user 1min 33s, sys: 18.1 s, total: 1min 51s\n",
      "Wall time: 1h 29min 47s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "_, _, final_params, metadata = optimize_query_mrr100_templated(es, max_concurrent_searches, index, _templates, template_id,\n",
    "    config_space=Config.parse({\n",
    "        'method': 'bayesian',\n",
    "        'num_iterations': 50,\n",
    "        'num_initial_points': 20,\n",
    "        'space': {\n",
    "            'url|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'title|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'title_bigrams|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'body|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'body_bigrams|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'expansions|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'expansions_bigrams|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "        }\n",
    "    }))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x1008 with 49 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = plot_objective(metadata, sample_source='result')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Evaluation with: MRR@100\n",
      "Score: 0.3407\n",
      "CPU times: user 2.58 s, sys: 885 ms, total: 3.46 s\n",
      "Wall time: 7min 10s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params=final_params)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'url|boost': 5.949038063682114,\n",
       " 'title|boost': 0.0,\n",
       " 'title_bigrams|boost': 10.0,\n",
       " 'body|boost': 10.0,\n",
       " 'body_bigrams|boost': 0.0,\n",
       " 'expansions|boost': 10.0,\n",
       " 'expansions_bigrams|boost': 2.2577356135425655}"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'url|boost': 6.831285778689427,\n",
       " 'title|boost': 0.0,\n",
       " 'title_bigrams|boost': 0.0,\n",
       " 'body|boost': 10.0,\n",
       " 'body_bigrams|boost': 10.0,\n",
       " 'expansions|boost': 10.0,\n",
       " 'expansions_bigrams|boost': 3.348671601852749}"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# with 100/20 iterations\n",
    "# 0.3412\n",
    "\n",
    "{\n",
    "    'url|boost': 6.831285778689427,\n",
    "    'title|boost': 0.0,\n",
    "    'title_bigrams|boost': 0.0,\n",
    "    'body|boost': 10.0,\n",
    "    'body_bigrams|boost': 10.0,\n",
    "    'expansions|boost': 10.0,\n",
    "    'expansions_bigrams|boost': 3.348671601852749\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Selective fields\n",
    "\n",
    "Based on the results from above, remove fields with `0` boost values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "_field_names = [\n",
    "    'url',\n",
    "    'body', 'body.bigrams',\n",
    "    'expansions', 'expansions.bigrams',\n",
    "]\n",
    "_templates = deepcopy(base_templates)\n",
    "_match_queries = [match_query(x) for x in _field_names]\n",
    "_templates[0]['template']['source']['query']['bool'] = { 'should': _match_queries }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Evaluation with: MRR@100\n",
      "Score: 0.3318\n",
      "CPU times: user 2.81 s, sys: 1.02 s, total: 3.83 s\n",
      "Wall time: 7min 6s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params={\n",
    "    'url|boost': 1.0,\n",
    "    'body|boost': 1.0,\n",
    "    'body_bigrams|boost': 1.0,\n",
    "    'expansions|boost': 1.0,\n",
    "    'expansions_bigrams|boost': 1.0\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimizing parameters\n",
      " - metric: MRR@100\n",
      " - queries: data/msmarco-document-sampled-queries.1000.tsv\n",
      " - queries: data/msmarco/document/msmarco-doctrain-qrels.tsv\n",
      " > iteration 1/50, took 0:01:25 (remains: 1:09:57)\n",
      "   | 0.3013 (best: 0.3013) - {'url|boost': 7.73888589006612, 'body|boost': 4.436038965405219, 'body_bigrams|boost': 9.102205111489042, 'expansions|boost': 8.755400621407274, 'expansions_bigrams|boost': 3.156355776262973}\n",
      " > iteration 2/50, took 0:01:22 (remains: 1:06:21)\n",
      "   | 0.2958 (best: 0.3013) - {'url|boost': 1.794434933192868, 'body|boost': 2.6819317445848996, 'body_bigrams|boost': 5.544134107110398, 'expansions|boost': 4.089206898889976, 'expansions_bigrams|boost': 5.040054940360228}\n",
      " > iteration 3/50, took 0:01:25 (remains: 1:07:13)\n",
      "   | 0.2985 (best: 0.3013) - {'url|boost': 3.8641685177591234, 'body|boost': 7.1169105371480255, 'body_bigrams|boost': 2.9206650569974286, 'expansions|boost': 0.5678349774701442, 'expansions_bigrams|boost': 8.000572950130522}\n",
      " > iteration 4/50, took 0:01:25 (remains: 1:05:11)\n",
      "   | 0.2742 (best: 0.3013) - {'url|boost': 9.223732003595742, 'body|boost': 2.2082232993740787, 'body_bigrams|boost': 8.24708056408634, 'expansions|boost': 2.371600832647531, 'expansions_bigrams|boost': 2.9531029470305876}\n",
      " > iteration 5/50, took 0:01:26 (remains: 1:05:08)\n",
      "   | 0.2895 (best: 0.3013) - {'url|boost': 9.597445398251965, 'body|boost': 1.2229693668967814, 'body_bigrams|boost': 4.469091769124219, 'expansions|boost': 2.048206558264582, 'expansions_bigrams|boost': 9.247891730163577}\n",
      " > iteration 6/50, took 0:01:26 (remains: 1:03:28)\n",
      "   | 0.3084 (best: 0.3084) - {'url|boost': 6.914262248829176, 'body|boost': 9.76137912978354, 'body_bigrams|boost': 3.419649026125748, 'expansions|boost': 4.3173351183080575, 'expansions_bigrams|boost': 9.805262659330285}\n",
      " > iteration 7/50, took 0:01:27 (remains: 1:03:01)\n",
      "   | 0.2797 (best: 0.3084) - {'url|boost': 8.235859856375274, 'body|boost': 5.437887511535965, 'body_bigrams|boost': 9.812784952799984, 'expansions|boost': 0.277910648391786, 'expansions_bigrams|boost': 8.651746345748204}\n",
      " > iteration 8/50, took 0:01:27 (remains: 1:01:12)\n",
      "   | 0.3039 (best: 0.3084) - {'url|boost': 4.341701382090434, 'body|boost': 4.590146161272567, 'body_bigrams|boost': 6.380303938613015, 'expansions|boost': 6.634492563578944, 'expansions_bigrams|boost': 4.037698292949137}\n",
      " > iteration 9/50, took 0:01:25 (remains: 0:58:43)\n",
      "   | 0.2865 (best: 0.3084) - {'url|boost': 6.199382386456027, 'body|boost': 5.921038984780048, 'body_bigrams|boost': 3.1626270438086017, 'expansions|boost': 2.151603244994152, 'expansions_bigrams|boost': 0.3133043484951537}\n",
      " > iteration 10/50, took 0:01:25 (remains: 0:57:06)\n",
      "   | 0.2956 (best: 0.3084) - {'url|boost': 8.04114690001562, 'body|boost': 3.936998343759991, 'body_bigrams|boost': 7.339114745688201, 'expansions|boost': 4.424673954252177, 'expansions_bigrams|boost': 5.315110750644944}\n",
      " > iteration 11/50, took 0:01:26 (remains: 0:55:57)\n",
      "   | 0.2998 (best: 0.3084) - {'url|boost': 8.861393757051113, 'body|boost': 6.211510198566738, 'body_bigrams|boost': 2.804088704265015, 'expansions|boost': 1.3376225012769574, 'expansions_bigrams|boost': 5.284367831214082}\n",
      " > iteration 12/50, took 0:01:25 (remains: 0:54:06)\n",
      "   | 0.3029 (best: 0.3084) - {'url|boost': 9.828897470560365, 'body|boost': 9.081058684674467, 'body_bigrams|boost': 3.69430271034151, 'expansions|boost': 2.5699619739374264, 'expansions_bigrams|boost': 6.306771358854222}\n",
      " > iteration 13/50, took 0:01:28 (remains: 0:54:36)\n",
      "   | 0.2990 (best: 0.3084) - {'url|boost': 5.411345685317555, 'body|boost': 5.653195929879885, 'body_bigrams|boost': 2.6774132467435545, 'expansions|boost': 1.2221448033057127, 'expansions_bigrams|boost': 8.984409282542932}\n",
      " > iteration 14/50, took 0:01:31 (remains: 0:54:59)\n",
      "   | 0.3085 (best: 0.3085) - {'url|boost': 2.2914290887091155, 'body|boost': 3.283866927936649, 'body_bigrams|boost': 3.1989089731328684, 'expansions|boost': 8.585123074676389, 'expansions_bigrams|boost': 9.734962289743933}\n",
      " > iteration 15/50, took 0:01:28 (remains: 0:51:46)\n",
      "   | 0.2896 (best: 0.3085) - {'url|boost': 4.095580187258479, 'body|boost': 2.0375539783494094, 'body_bigrams|boost': 7.892895142563761, 'expansions|boost': 3.7646479537183666, 'expansions_bigrams|boost': 6.749513034906368}\n",
      " > iteration 16/50, took 0:01:28 (remains: 0:50:16)\n",
      "   | 0.2896 (best: 0.3085) - {'url|boost': 6.198398368836772, 'body|boost': 2.784494010489203, 'body_bigrams|boost': 3.501598262904044, 'expansions|boost': 0.49675799366676554, 'expansions_bigrams|boost': 7.604188539923689}\n",
      " > iteration 17/50, took 0:01:28 (remains: 0:48:55)\n",
      "   | 0.3031 (best: 0.3085) - {'url|boost': 6.337354547057693, 'body|boost': 2.287130236911929, 'body_bigrams|boost': 7.524741974304882, 'expansions|boost': 9.144506520345564, 'expansions_bigrams|boost': 2.4614747227643923}\n",
      " > iteration 18/50, took 0:01:25 (remains: 0:45:50)\n",
      "   | 0.2962 (best: 0.3085) - {'url|boost': 1.8627453098719873, 'body|boost': 4.934890697182631, 'body_bigrams|boost': 9.593326619420537, 'expansions|boost': 7.550500219067299, 'expansions_bigrams|boost': 3.61555599558077}\n",
      " > iteration 19/50, took 0:01:28 (remains: 0:45:57)\n",
      "   | 0.2986 (best: 0.3085) - {'url|boost': 6.884077034068936, 'body|boost': 1.3420905425708343, 'body_bigrams|boost': 3.089683188265449, 'expansions|boost': 3.6439798438177924, 'expansions_bigrams|boost': 9.575002316671258}\n",
      " > iteration 20/50, took 0:01:25 (remains: 0:42:54)\n",
      "   | 0.3076 (best: 0.3085) - {'url|boost': 4.3671608234003685, 'body|boost': 7.2974775106461856, 'body_bigrams|boost': 6.483960946238875, 'expansions|boost': 9.09065700556614, 'expansions_bigrams|boost': 6.840713464072161}\n",
      " > iteration 21/50, took 0:01:26 (remains: 0:41:59)\n",
      "   | 0.3119 (best: 0.3119) - {'url|boost': 10.0, 'body|boost': 5.817230472666944, 'body_bigrams|boost': 0.0, 'expansions|boost': 7.898995322332549, 'expansions_bigrams|boost': 5.4945718291988435}\n",
      " > iteration 22/50, took 0:01:25 (remains: 0:39:45)\n",
      "   | 0.3123 (best: 0.3123) - {'url|boost': 8.33940356128549, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 0.0}\n",
      " > iteration 23/50, took 0:01:29 (remains: 0:40:09)\n",
      "   | 0.3152 (best: 0.3152) - {'url|boost': 10.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 10.0}\n",
      " > iteration 24/50, took 0:01:25 (remains: 0:37:08)\n",
      "   | 0.2987 (best: 0.3152) - {'url|boost': 10.0, 'body|boost': 0.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 0.0}\n",
      " > iteration 25/50, took 0:01:26 (remains: 0:36:07)\n",
      "   | 0.3049 (best: 0.3152) - {'url|boost': 10.0, 'body|boost': 10.0, 'body_bigrams|boost': 6.072369966411644, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 0.0}\n",
      " > iteration 26/50, took 0:01:25 (remains: 0:34:07)\n",
      "   | 0.3173 (best: 0.3173) - {'url|boost': 10.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 5.267132036093147}\n",
      " > iteration 27/50, took 0:01:26 (remains: 0:33:20)\n",
      "   | 0.3137 (best: 0.3173) - {'url|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 6.806256862327076, 'expansions_bigrams|boost': 7.317780219300528}\n",
      " > iteration 28/50, took 0:01:26 (remains: 0:31:40)\n",
      "   | 0.2939 (best: 0.3173) - {'url|boost': 0.15748225008620734, 'body|boost': 0.18458857243721552, 'body_bigrams|boost': 9.296445759785296, 'expansions|boost': 9.504660901942358, 'expansions_bigrams|boost': 9.86449927296153}\n",
      " > iteration 29/50, took 0:01:26 (remains: 0:30:13)\n",
      "   | 0.3092 (best: 0.3173) - {'url|boost': 9.70615340051615, 'body|boost': 0.2764818714283768, 'body_bigrams|boost': 0.06617494510298251, 'expansions|boost': 9.214148595107511, 'expansions_bigrams|boost': 9.205394088704697}\n",
      " > iteration 30/50, took 0:01:26 (remains: 0:28:47)\n",
      "   | 0.3128 (best: 0.3173) - {'url|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 6.4511515336814105}\n",
      " > iteration 31/50, took 0:01:26 (remains: 0:27:17)\n",
      "   | 0.2952 (best: 0.3173) - {'url|boost': 4.231281133262824, 'body|boost': 9.73948216747517, 'body_bigrams|boost': 0.036468276078871494, 'expansions|boost': 0.07591491876340008, 'expansions_bigrams|boost': 2.6570161669287233}\n",
      " > iteration 32/50, took 0:01:26 (remains: 0:25:54)\n",
      "   | 0.3076 (best: 0.3173) - {'url|boost': 9.861375917555055, 'body|boost': 8.849716701477131, 'body_bigrams|boost': 7.396850596841766, 'expansions|boost': 9.965479475998434, 'expansions_bigrams|boost': 9.919836196124304}\n",
      " > iteration 33/50, took 0:01:30 (remains: 0:25:41)\n",
      "   | 0.3135 (best: 0.3173) - {'url|boost': 9.656169219288136, 'body|boost': 9.947804182696395, 'body_bigrams|boost': 0.49556745888386555, 'expansions|boost': 7.240239805725532, 'expansions_bigrams|boost': 2.1354336586506224}\n",
      " > iteration 34/50, took 0:01:27 (remains: 0:23:14)\n",
      "   | 0.3102 (best: 0.3173) - {'url|boost': 7.957967730446899, 'body|boost': 9.860394486465506, 'body_bigrams|boost': 0.04177297598856989, 'expansions|boost': 1.049661323149206, 'expansions_bigrams|boost': 8.960660074017898}\n",
      " > iteration 35/50, took 0:01:30 (remains: 0:22:30)\n",
      "   | 0.3124 (best: 0.3173) - {'url|boost': 9.602092829538423, 'body|boost': 0.8634621985372338, 'body_bigrams|boost': 3.5583059755089823, 'expansions|boost': 9.935298421737832, 'expansions_bigrams|boost': 5.500264158020459}\n",
      " > iteration 36/50, took 0:01:26 (remains: 0:20:16)\n",
      "   | 0.3097 (best: 0.3173) - {'url|boost': 0.08355945758806162, 'body|boost': 8.998325799916811, 'body_bigrams|boost': 3.594026982796374, 'expansions|boost': 9.895337562342874, 'expansions_bigrams|boost': 3.6269671142327815}\n",
      " > iteration 37/50, took 0:01:29 (remains: 0:19:21)\n",
      "   | 0.2884 (best: 0.3173) - {'url|boost': 9.12470995858093, 'body|boost': 0.2109273737702755, 'body_bigrams|boost': 0.02867041498589851, 'expansions|boost': 3.2224203423856186, 'expansions_bigrams|boost': 1.442962185091319}\n",
      " > iteration 38/50, took 0:01:34 (remains: 0:18:56)\n",
      "   | 0.3133 (best: 0.3173) - {'url|boost': 10.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 6.1456844059246905, 'expansions_bigrams|boost': 10.0}\n",
      " > iteration 39/50, took 0:01:26 (remains: 0:15:47)\n",
      "   | 0.3084 (best: 0.3173) - {'url|boost': 0.030972233852658577, 'body|boost': 0.387324860175885, 'body_bigrams|boost': 0.42274284505577026, 'expansions|boost': 9.984086706518681, 'expansions_bigrams|boost': 3.8444971316761967}\n",
      " > iteration 40/50, took 0:01:27 (remains: 0:14:30)\n",
      "   | 0.2957 (best: 0.3173) - {'url|boost': 1.6899160306986474, 'body|boost': 9.803441651952342, 'body_bigrams|boost': 9.861557435427162, 'expansions|boost': 6.774471363898867, 'expansions_bigrams|boost': 9.486951381899678}\n",
      " > iteration 41/50, took 0:01:25 (remains: 0:12:49)\n",
      "   | 0.2997 (best: 0.3173) - {'url|boost': 5.7410792981464684, 'body|boost': 0.43444733948926123, 'body_bigrams|boost': 8.856147687768066, 'expansions|boost': 9.976877469597143, 'expansions_bigrams|boost': 0.07716222257163731}\n",
      " > iteration 42/50, took 0:01:27 (remains: 0:11:41)\n",
      "   | 0.3101 (best: 0.3173) - {'url|boost': 3.0120486899980854, 'body|boost': 4.758489441693271, 'body_bigrams|boost': 0.09466459074681467, 'expansions|boost': 9.82515403935783, 'expansions_bigrams|boost': 8.882047758715522}\n",
      " > iteration 43/50, took 0:01:25 (remains: 0:09:59)\n",
      "   | 0.3167 (best: 0.3173) - {'url|boost': 9.523088975061944, 'body|boost': 9.729380896762452, 'body_bigrams|boost': 2.766055488028078, 'expansions|boost': 9.79340096155942, 'expansions_bigrams|boost': 7.687936537397693}\n",
      " > iteration 44/50, took 0:01:25 (remains: 0:08:33)\n",
      "   | 0.3175 (best: 0.3175) - {'url|boost': 10.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 5.500040511164799}\n",
      " > iteration 45/50, took 0:01:26 (remains: 0:07:14)\n",
      "   | 0.3143 (best: 0.3175) - {'url|boost': 10.0, 'body|boost': 10.0, 'body_bigrams|boost': 1.296730808726998, 'expansions|boost': 8.348926875104624, 'expansions_bigrams|boost': 6.299703718803805}\n",
      " > iteration 46/50, took 0:01:26 (remains: 0:05:44)\n",
      "   | 0.3171 (best: 0.3175) - {'url|boost': 10.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 4.813158453007126}\n",
      " > iteration 47/50, took 0:01:27 (remains: 0:04:22)\n",
      "   | 0.3106 (best: 0.3175) - {'url|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 4.010957768577445, 'expansions_bigrams|boost': 7.827952678074965}\n",
      " > iteration 48/50, took 0:01:26 (remains: 0:02:52)\n",
      "   | 0.3103 (best: 0.3175) - {'url|boost': 0.17911444551277692, 'body|boost': 9.696162939695924, 'body_bigrams|boost': 1.287743302125284, 'expansions|boost': 6.671306439796193, 'expansions_bigrams|boost': 0.9487060082265577}\n",
      " > iteration 49/50, took 0:01:26 (remains: 0:01:26)\n",
      "   | 0.3156 (best: 0.3175) - {'url|boost': 10.0, 'body|boost': 7.816031809750673, 'body_bigrams|boost': 1.865770299309701, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 6.793407160306101}\n",
      " > iteration 50/50, took 0:01:26 (remains: 0:00:00)\n",
      "   | 0.3060 (best: 0.3175) - {'url|boost': 2.054421385768492, 'body|boost': 1.5066432623936212, 'body_bigrams|boost': 0.0019491108757996316, 'expansions|boost': 7.335817818722744, 'expansions_bigrams|boost': 7.177843127585662}\n",
      "Best score: 0.3175\n",
      "Best params: {'url|boost': 10.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 5.500040511164799}\n",
      "Final params: {'url|boost': 10.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 5.500040511164799}\n",
      "\n",
      "CPU times: user 1min 22s, sys: 17.9 s, total: 1min 40s\n",
      "Wall time: 1h 12min 33s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "_, _, final_params, metadata = optimize_query_mrr100_templated(es, max_concurrent_searches, index, _templates, template_id,\n",
    "    config_space=Config.parse({\n",
    "        'method': 'bayesian',\n",
    "        'num_iterations': 50,\n",
    "        'num_initial_points': 20,\n",
    "        'space': {\n",
    "            'url|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'body|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'body_bigrams|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'expansions|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "            'expansions_bigrams|boost': { 'low': 0.0, 'high': 10.0 },\n",
    "        }\n",
    "    }))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 25 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = plot_objective(metadata, sample_source='result')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Evaluation with: MRR@100\n",
      "Score: 0.3402\n",
      "CPU times: user 2.71 s, sys: 997 ms, total: 3.7 s\n",
      "Wall time: 7min 7s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params=final_params)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'url|boost': 10.0,\n",
       " 'body|boost': 10.0,\n",
       " 'body_bigrams|boost': 0.0,\n",
       " 'expansions|boost': 10.0,\n",
       " 'expansions_bigrams|boost': 5.500040511164799}"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'url|boost': 5.906335138830406,\n",
       " 'body|boost': 7.285007082865544,\n",
       " 'body_bigrams|boost': 0.1561216257683724,\n",
       " 'expansions|boost': 9.922407448775347,\n",
       " 'expansions_bigrams|boost': 4.5189511755570635}"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# with 50/20 iterations\n",
    "# 0.3415\n",
    "\n",
    "{\n",
    "    'url|boost': 5.906335138830406,\n",
    "    'body|boost': 7.285007082865544,\n",
    "    'body_bigrams|boost': 0.1561216257683724,\n",
    "    'expansions|boost': 9.922407448775347,\n",
    "    'expansions_bigrams|boost': 4.5189511755570635\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
